CVE-2024-21649 in vantage6
Summary
by MITRE • 01/30/2024
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Prior to 4.2.0, authenticated users could inject code into algorithm environment variables, resulting in remote code execution. This vulnerability is patched in 4.2.0.
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Analysis
by VulDB Data Team • 01/30/2024
The vantage6 technology represents a sophisticated platform designed for managing and deploying privacy-enhancing technologies including federated learning and multi-party computation systems. This platform serves as a critical infrastructure component for organizations seeking to conduct collaborative machine learning and data processing while maintaining data privacy and security. The vulnerability identified as CVE-2024-21649 specifically targets the platform's handling of algorithm environment variables within its authentication framework. Prior to version 4.2.0, the system failed to properly validate or sanitize user inputs when processing environment variable configurations for algorithms, creating a dangerous pathway for malicious actors to exploit. This flaw existed within the platform's privilege escalation and code injection mechanisms, allowing authenticated users with legitimate access to potentially leverage their credentials for more severe malicious activities.
The technical implementation of this vulnerability stems from insufficient input validation and sanitization within the environment variable processing pipeline. When authenticated users submitted algorithm configurations containing specially crafted environment variable values, the system failed to properly escape or validate these inputs before incorporating them into the execution environment. This represents a classic command injection vulnerability that aligns with CWE-77 and CWE-94 categories, where user-supplied data flows directly into execution contexts without proper sanitization. The vulnerability specifically affects the platform's algorithm deployment and execution mechanisms, where environment variables are used to configure runtime parameters for federated learning and multi-party computation processes. Attackers could exploit this by crafting malicious environment variable values that, when processed by the system, would execute arbitrary code within the algorithm execution context, potentially compromising the entire platform infrastructure.
The operational impact of CVE-2024-21649 extends beyond simple code injection, representing a significant risk to privacy-enhancing technology deployments that organizations rely upon for secure collaborative processing. Given that vantage6 is designed for federated learning and multi-party computation environments, successful exploitation could allow attackers to access sensitive data being processed through these systems, potentially compromising the privacy guarantees that make these technologies valuable. The vulnerability creates a pathway for attackers to escalate privileges within the platform, potentially gaining access to other users' algorithm configurations, data processing pipelines, and underlying infrastructure resources. This risk is particularly concerning in enterprise environments where multiple organizations collaborate through federated learning systems, as a compromised environment could lead to data leakage across the entire federated network. The vulnerability also aligns with ATT&CK technique T1059.001 for command and script injection, and T1566 for phishing with social engineering elements, as it enables attackers to execute malicious code remotely through legitimate authenticated access.
Organizations utilizing vantage6 technology should prioritize immediate patching to version 4.2.0 or later to address this critical vulnerability. The remediation process requires comprehensive testing of existing algorithm configurations to ensure that environment variable handling remains compatible with the updated validation mechanisms. Security teams should implement monitoring for suspicious environment variable usage patterns and establish more robust access controls for algorithm deployment processes. Additional mitigations include implementing principle of least privilege for user accounts, regular security audits of algorithm configurations, and enhanced logging of environment variable modifications. The vulnerability demonstrates the critical importance of input validation in privacy-enhancing technologies, where even authenticated users can potentially compromise system integrity through carefully crafted inputs. Organizations should also consider implementing network segmentation and additional access controls around the vantage6 platform to limit the potential impact of successful exploitation attempts. This vulnerability serves as a reminder that privacy-preserving technologies, while designed to protect data, must also maintain robust security controls to prevent unauthorized access and code execution within their own infrastructure.